Abstract: Provided is a model training method, a data processing method and related apparatuses, relating to the technical fields of large model, image processing, and computer vision. The method includes: obtaining a historical process flow card set for spinning process; extracting a handwritten area from each historical process flow card; classifying the handwritten area to obtain a handwritten digit image block and a handwritten text image block; constructing a digit recognition model of different handwritten digit categories based on the handwritten digit image block, to extract a target digit from a newly-added process flow card; and constructing a text recognition model of different handwritten text categories based on the handwritten text image block, to extract a target text from the newly-added process flow card; wherein the target digit and the target text are used to construct a process flow database for the spinning process.

Abstract: An affine prediction method, a computing device and a non-transitory storage medium are disclosed. The method includes obtaining a current coding block comprising a plurality of sub-blocks arranged in an array; dividing the current coding block into at least two areas, wherein each area of the at least two areas comprises two or more of the sub-blocks; setting a corresponding control point motion vector (CPMV) for one or more control points in the each area, respectively; and affine-predicting motion vectors (MVs) of the two or more of the sub-blocks in the each area, using the corresponding CPMV.

Abstract: Provided is a spinning workshop inspection method, an electronic device and a storage medium, relating to technical fields of computers. The spinning workshop inspection method includes: acquiring first image information of an inspection passage when an inspection robot inspects a first position corresponding to the first spinning box in the inspection passage; determining a second spinning box from spinning boxes when the first image information includes a first detection object; acquiring second image information of the inspection passage when the inspection robot inspects a second position corresponding to the second spinning box in the inspection passage; and determining state information of the first detection object based on the first and second image information.

Abstract: Provided is a transfer vehicle, including: a vehicle body; a rotating mechanism, including an annular track vertically arranged above the vehicle body, a crawler belt arranged along an end surface of the annular track, and a first driving device connected to the crawler belt; a plurality of material receiving rods arranged at intervals on a side of the rotating mechanism, wherein each material receiving rod includes an inner rod and an outer rod sleeved on the inner rod, and the inner rod is connected to the crawler belt; a docking auxiliary mechanism arranged beside a docking station on the side of the rotating mechanism, including a pushing device and a positioning device, wherein the positioning device is configured to determine an orientation of a target docking position; and a control mechanism configured to control movement of the vehicle body.

Abstract: Provided is a doffing scheduling method and apparatus for yarn spindle product, and storage medium, applied in an automatic doffing system, relating to the field of computer technology, and particularly to the field of automation control. The automatic doffing system is connected to an automated guided vehicle, (AGV) and an overhead rail doffing vehicle, the AGV and the overhead rail doffing vehicle being deployed in different vertical spaces within a target workshop. The method includes: determining a target doffing vehicle corresponding to a first winding machine in the target workshop from the AGV and the overhead rail doffing vehicle based on time-related information of doffing the yarn spindle product in all or part of winding machines in the target workshop; scheduling the target doffing vehicle to complete a doffing task of the yarn spindle product in the first winding machine.

Abstract: The present provides an affine prediction method and related devices. The method may include: dividing a current coding block into multiple sub-blocks, and determining an initial prediction value of all pixels in each of the sub-blocks; dividing each of the sub-blocks into multiple fraction blocks, wherein at least one of the fraction blocks comprises at least two integer pixels; determining a motion vector difference and a gradient of each of the fraction blocks; calculating a pixel compensation value of each of the fraction blocks based on the motion vector difference value and the gradient; taking the pixel compensation value of each of the fraction blocks as a pixel compensation value of all pixels in each of the fraction blocks; and calculating a final prediction value of each pixel in the current coding block by the initial prediction value of each pixel and the pixel compensation value.

Abstract: A method for acquiring motion vectors includes: obtaining a number of related motion vectors of a current block, wherein the number of related motion vectors are motion vectors of a related block of the current block, a prediction mode of the related block is the same as a current prediction mode of the current block, an encoding has been completed; determining weights of at least part of the number of related motion vectors; and calculating a weighted motion vector of the current block based on at least part of the number of related motion vectors and the weights of at least part of the plurality of related motion vectors.

Abstract: A sub-block motion prediction method includes: obtaining a reference block, a co-located frame, and a reference frame of a current block; obtaining a motion vector of the current block, wherein the motion vector corresponds to a set of reference parameters; obtaining a co-located block of a sub-block based on the set of reference parameters, wherein a plurality of sub-blocks are obtained by dividing the current block; obtaining a candidate motion vector of each sub-block based on a motion vector of the co-located block; and obtaining a sub-block motion prediction result of the current block based on all candidate motion vectors of all sub-blocks and following a principle of consuming a minimal prediction cost.

Abstract: A video processing method and an electronic device are provided. The method includes: obtaining a to-be-processed video sequence; resampling at least one picture of the to-be-processed video sequence, and encoding the at least one picture based on a quantization parameter after resampling; the quantization parameter after resampling is obtained by offsetting a quantization parameter before resampling based on an offset value of quantization parameters of the to-be-processed video sequence, and each resampled picture is encoded to obtain an encoded picture; and performing a picture resolution reconstruction on the encoded picture as an input picture to generate an output picture; the output picture has a resolution higher than a resolution of the input picture.

Abstract: The present disclosure relates to a motion vector prediction method, a video coding method, and related apparatuses and devices. The motion vector prediction method includes: acquiring a candidate list of a current coding block in a preset prediction mode, where the candidate list includes a plurality of candidate motion vectors; performing a motion search of the plurality of candidate motion vectors in the candidate list to obtain an initial optimal motion vector of the current coding block in the preset prediction mode; performing motion compensation on the initial optimal motion vector by using each of a first preset number of pixel accuracies, to determine a final optimal motion vector of the current coding block, where the preset prediction mode comprises any one of a plurality of prediction modes, and pixel accuracies used in any one of the prediction modes are identical.

Abstract: The present disclosure relates to antibodies and antibody derivatives that bind to MSLN and methods of using the same. In certain embodiments, the antibody or antibody derivative disclosed herein comprises a single domain antibody that binds to MSLN.

Abstract: A method for inter-frame prediction may include obtaining a current coding unit in an image. The method may also include determining feature information of the current coding unit, the feature information being associated with at least one of a size feature or a texture feature. The method may also include determining, based on the feature information of the current coding unit, an MV candidate list. The method may also include determining, based on the MV candidate list, a prediction result of the current coding unit.

Abstract: The present disclosure discloses antigen binding proteins, nucleic acids encoding the antigen binding proteins of the present disclosure, vectors including the nucleic acids of the present disclosure, cells including the antigen binding proteins, nucleic acids or vectors of the present disclosure, methods of preparing the cells of the present disclosure. The disclosure also discloses conjugates or compositions including the antigen binding proteins of the disclosure, and methods of preventing and/or treating diseases by using the antigen binding proteins or cells of the disclosure, and methods of detecting the presence of diseases in a subject.

Abstract: The present disclosure relates to systems and methods for block division and encoding in video processing. A method may include obtaining a block to be predicted in an image frame. The method may also include determining, based on a plurality of division modes of the block, a target division mode of the block. The plurality of division modes may include an equal division mode that is configured to divide the block into multiple sub-blocks with a same size. The method may further include dividing, based on the target division mode, the block into a plurality of sub-blocks, and encoding the block based on the plurality of sub-blocks.

Abstract: The present disclosure relates to systems and methods for image coding. The system may determine a predetermined region in a coding unit in an image, the predetermined region including a plurality of pixels. The system may determine whether a prediction angle of a prediction mode is larger than or equal to 0° and smaller than or equal to 90°. In response to determining that the prediction angle of the prediction mode is larger than or equal to 0° and smaller than or equal to 90°, for each of the plurality of pixels in the predetermined region, the system may determine a preliminary predicted value of the pixel based on at least one of one or more first reference lines associated with the coding unit along a prediction direction corresponding to the prediction angle. The one or more first reference lines may be along a first side or a second side of the coding unit and each of the one or more first reference lines may include a plurality of first reference pixels.

Abstract: The present disclosure relates to antibodies and antibody derivatives that bind to OX40 and methods of using the same. In certain embodiments, the antibody or antibody derivative disclosed herein comprises a single domain antibody that binds to OX40.

Abstract: The present disclosure relates to antibodies and antibody derivatives that bind to OX40 and methods of using the same. In certain embodiments, the antibody or antibody derivative disclosed herein comprises a single domain antibody that binds to OX40. In certain embodiments, the antibody derivative is a multispecific antibody that binds to OX40 and an additional antigen, e.g., CTLA4.

Abstract: An inter-frame prediction method based on a merge with motion vector difference (MMVD) mode may include: constructing a first candidate list of a current coding block in the MMVD mode, wherein the first candidate list includes a first preset number of first candidate motion vectors (MVs); determining a second preset number of motion search amplitudes and a third preset number of motion search directions; taking the first candidate MV as a starting point, and searching by different motion combinations of the motion search amplitudes and the motion search directions, to obtain a MV offset of the first candidate MV under the different motion combinations, for each of the first candidate MVs; determining to obtain an optimal MV of the current coding block based on the MV offset of each of the first candidate MVs in the different motion combinations.

Abstract: The present disclosure provides systems and methods for image filtering. The method may include obtaining an initial image block from a reconstructed image; determining at least one candidate image block by performing a filtering operation on the initial image block using at least one trained machine learning model; and determining a target image block based on the at least one candidate image block.

Abstract: A method for intra prediction may include obtaining a target block to be encoded in a target image. The method may also include determining a final most probably mode (MPM) list of the target block based on at least one of (a) first intra-prediction modes configured to encode two or more adjacent blocks of the target block, (b) a width and a height of the target block, (c) statistical information of second intra-prediction modes configured to encode a plurality of first encoded blocks associated with the target block, or (d) texture features of a plurality of second encoded blocks associated with the target block. The method may also include determining, based on the final MPM list, a target intra-prediction mode corresponding to the target block. The method may also include encoding, based on the target intra-prediction mode, the target block.